Background: Ensuring access to healthcare services is a key element to achieving the Sustainable Development Goal 3 of promoting healthy lives and well-being through Universal Health Coverage (UHC). However, in the context of low- and middle-income countries, most studies focused on financial protection measured through catastrophic health expenditures, or on health services utilization among specific populations exhibiting health needs (such as pregnancy or recent sickness). Methods: This study aims at building an individual score of perceived barriers to medical care (PBMC) in order to predict health services utilization (or non-utilization). We estimate the score on six items: (1) knowing where to go, (2) getting permission, (3) having money, (4) distance to the facility, (5) finding transport, and (6) not wanting to go alone, using individual data from 1787 adult participants living in rural Senegal. We build the score via a stepwise descendent explanatory factor analysis (EFA), and assess its internal consistency. Finally, we assess the predictive validity of the factor-based score by testing its association (univariate regressions) with a wide range of variables on determinants of healthcare-seeking and healthcare services utilization. Results: EFA yields a one-dimensional score combining items 3-6 with a 0.7 Cronbach’s alpha indicating good internal consistency. The score is strongly associated – p-values significant at the 5% level – with determinants of healthcare-seeking (including, but not limited to, sex, education, marital status, poverty, and distance to the health facility). Additionally, the score can predict non-utilization of health services at the household level, utilization and non-utilization of health services following an individual’s episode of illness, and utilization of health services during pregnancy and birth. These results are robust to the use of a different dataset.Conclusions: As a valid, sensitive, and easily documented individual-level indicator, the PBMC score can be a complement to regional or national level health services coverage to measure health services access and predict utilization. At the individual or household level, the PBMC score can also be combined with conventional metrics of financial risk protection such as CHE to comprehensively document deficits in, and progress towards UHC.